This is the second of a short series of video snippets extracted from the 17th September 2020 presentation by Marcelle Gannon and Jonathon Dyson for the Clean Energy Council entitled ‘Maximising Profitability in the NEM’ for Wind Farms.
Following on from the article posted on the day, here’s a focused look at what can be seen in (‘next day’ public) data for Yarranlea Solar Farm on Friday 1st May 2020 – a day that saw negative prices through many half-hour trading periods in Queensland, and Large Solar farms cycling as a result.
This is the 2nd of 4 Case Studies to follow on from Tuesday’s main article (summarising results across 105,120 dispatch intervals through 2019 for ‘all Coal’ and ‘all Wind’ groupings). In this case, let’s look at the ‘worst’ case, in aggregate, where coal units over-performed compared to dispatch targets.
Following on from Tuesday’s main article (summarising results across 105,120 dispatch intervals through 2019 for ‘all Coal’ and ‘all Wind’ groupings), this is the first of 4 x Case Studies that look at each of the extremes in outcome. This one is the dispatch interval featuring the greatest over-performance, collectively, across all coal units through 2019.
Recent invitations (from COAG Energy Council and AEMO) prompt some further analysis of the data set assembled for the GSD2019 in order to understand more about one of the challenges in balancing Supply and Demand in the NEM 2.0 world.
Using the (hot off the press) Generator Statistical Digest 2019, we take a look across all 304 DUIDs to see how they performed through calendar 2019 in terms of large excesses in ‘Raw Off-Target’ in both directions. These results suggests implications for the future…
We’ve been appreciating the early orders flowing in from those who did not wait until the release of the GSD2019, and we’re pleased to announce that this new Statistical Digest is available today.